46 Result(s)
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Article
Revenue maximization based joint optimization in mmWave cell-free network: an equivalent decomposition and alternative iteration combined approach
Recently, the ever-increasing demands including higher rate and connection stability have bottlenecked the user experience of the traditional cellular networks. To this end, the Cell-Free (CF) network, which i...
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Article
Semantic segmentation of remote sensing image based on bilateral branch network
Due to the large intra-class differences between the same categories and the scale imbalance between different categories in the remote sensing image dataset, the semantic segmentation task presents the proble...
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Chapter and Conference Paper
Research on Distributed Routing Technology for LEO Satellite Network
During the development of 6G networks, cellular networks that rely solely on ground infrastructure cannot meet network coverage in remote areas. On this basis, the concept of Low Earth Orbit (LEO) satellites p...
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Article
MFSTGN: a multi-scale spatial-temporal fusion graph network for traffic prediction
Traffic prediction is an important link in building a smart city, accurate prediction of future traffic conditions can provide a reference for people to travel and facilitate the work of relevant departments, ...
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Chapter
Applicability Domain Characterization for Machine Learning QSAR Models
Quantitative structure–activity relationship (QSAR) models serve as important tools for chemical hazard assessment. Recent decades witnessed an unprecedented success in develo** “high-performance” QSAR model...
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Chapter and Conference Paper
Analysis of Power Grid Security Access Protection Based on Internet Technology
While the smart grid complies with the requirements of the hierarchical protection system, it also designs the network system and constructs an information security protection model to ensure the safe and reli...
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Chapter and Conference Paper
A PSO Based Multi-view Hierarchical Clustering Method
In the era of big data, multi-view data becomes more and more common. Many clustering algorithms have been developed into multi-view clustering to process multi-view data, except for hierarchical clustering. A...
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Chapter and Conference Paper
Revised Discrete Control Barrier Functions for Safe Control of a Redundant DoF Manipulator
The control barrier function provides an efficient tool to ensure the safety of Human-robot interaction. In this paper, we represent the barrier function in the discrete-time form together with the control Lya...
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Chapter and Conference Paper
Efficient Dual-Process Cognitive Recommender Balancing Accuracy and Diversity
In this paper, we propose a dual-process cognitive recommendation system for sequential recommendations. The framework includes an intuitive representation module (System 1) and an inference module (System 2)....
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Chapter and Conference Paper
Causal Enhanced Uplift Model
Uplift modeling refers to approaches to quantify net difference in outcome between applying a treatment and not applying it to an individual. It is a typical causal inference problem which allowing us to desig...
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Chapter and Conference Paper
Learning Discriminative Representation Base on Attention for Uplift
Uplift modeling aims to estimate Conditional Average Treatment Effects (CATE) for a given factor, such as a marketing intervention or a medical treatment. Given covariates of a single subject under different t...
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Article
QoTa-MPR: QoS-oriented and traffic-aware multi-path routing protocol for internet of remote things
Internet of Remote Things (IoRT) is widely used in both military and civilian applications. However, due to the unique characteristics, which is characterized as long-distance and high-latency, the design of t...
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Article
Development and Validation of an Unsupervised Feature Learning System for Leukocyte Characterization and Classification: A Multi-Hospital Study
The characterization and classification of white blood cells (WBC) are critical for the diagnosis of anemia, leukemia, and many other hematologic diseases. We developed WBC-Profiler, an unsupervised feature le...
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Article
Prediction of atherosclerosis diseases using biosensor-assisted deep learning artificial neuron model
In the present medical era, the major cause of the rise in death rate worldwide is atherosclerosis disease and this diagnosis is complicated because initial signs are unattended. To reduce the costs of treatme...
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Chapter and Conference Paper
The Application of Improved Genetic Algorithm and Least Square Method in Computer Mathematical Modeling
The basic idea of genetic algorithm is to imitate the genetic process in biological world. In the whole operation process, it is generally composed of three basic operations: mutation, crossover, selection, ge...
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Chapter and Conference Paper
Question Generation from Code Snippets and Programming Error Messages
For some inexperienced developers, extracting key information from code snippets and programming error messages and turning it into a highly readable question can help them better understand, locate and search...
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Chapter and Conference Paper
Semantic Structural and Occlusive Feature Fusion for Pedestrian Detection
Pedestrian detection under occlusion scenes remains a formidable challenge in computer vision. Recently, anchor-free approach has been raised on the object detection and pedestrian detection field, anchor-free...
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Chapter
A Value of Data Science in the Medical Informatics: An Overview
The use of data science and predictive modelling for real-time clinical decision making is increasingly recognized. The initial step in the path towards the adoption of real-time prediction and forecast is the...
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Chapter
Eminent Role of Machine Learning in the Healthcare Data Management
The large quantities of data that can be produced in the medical sector. Each healthcare institution has its own patient records that include important details. When correctly evaluated, the healthcare domain ...
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Chapter
Emerging Advancement of Data Science in the Healthcare Informatics
The healthcare domain is experiencing a massive transition, driven by the threefold target of increased efficiency, reduced costs and positive results for patients. The lack of clinical experience impact can l...
